AIMC Topic: Protons

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Deep learning-based synthetic dose-weighted LET map generation for intensity modulated proton therapy.

Physics in medicine and biology Jan 5, 2024
The advantage of proton therapy as compared to photon therapy stems from the Bragg peak effect, which allows protons to deposit most of their energy directly at the tumor while sparing healthy tissue. However, even with such benefits, proton therapy ...
Deep Learning Protons Linear Energy Transfer Relative Biological Effectiveness Radiotherapy Planning, Computer-Assisted Monte Carlo Method Proton Therapy
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Feasibility of Monte Carlo dropout-based uncertainty maps to evaluate deep learning-based synthetic CTs for adaptive proton therapy.

Medical physics Nov 13, 2023
BACKGROUND: Deep learning has shown promising results to generate MRI-based synthetic CTs and to enable accurate proton dose calculations on MRIs. For clinical implementation of synthetic CTs, quality assurance tools that verify their quality and rel...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Feasibility Studies Tomography, X-Ray Computed Reproducibility of Results Deep Learning Radiotherapy Planning, Computer-Assisted Proton Therapy Radiotherapy Dosage Uncertainty Protons
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Automated Segmentation and Classification of Knee Synovitis Based on MRI Using Deep Learning.

Academic radiology Nov 10, 2023
OBJECTIVES: To develop a deep learning (DL) model for segmentation of the suprapatellar capsule (SC) and infrapatellar fat pad (IPFP) based on sagittal proton density-weighted images and to distinguish between three common types of knee synovitis.
Protons Synovitis Deep Learning Magnetic Resonance Imaging Humans Retrospective Studies Adult Male Middle Aged
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Multimodal imaging-based material mass density estimation for proton therapy using supervised deep learning.

The British journal of radiology Oct 3, 2023
OBJECTIVE: Mapping CT number to material property dominates the proton range uncertainty. This work aims to develop a physics-constrained deep learning-based multimodal imaging (PDMI) framework to integrate physics, deep learning, MRI, and advanced d...
Multimodal Imaging Proton Therapy Protons Magnetic Resonance Imaging Obesity Humans Retrospective Studies Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted
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Beam mask and sliding window-facilitated deep learning-based accurate and efficient dose prediction for pencil beam scanning proton therapy.

Medical physics Sep 25, 2023
BACKGROUND: Accurate and efficient dose calculation is essential for on-line adaptive planning in proton therapy. Deep learning (DL) has shown promising dose prediction results in photon therapy. However, there is a scarcity of DL-based dose predicti...
Radiotherapy Planning, Computer-Assisted Deep Learning Radiotherapy, Intensity-Modulated Humans Lung Neoplasms Proton Therapy Radiotherapy Dosage Male Prostatic Neoplasms Protons
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Proton range uncertainty caused by synthetic computed tomography generated with deep learning from pelvic magnetic resonance imaging.

Acta oncologica (Stockholm, Sweden) Sep 13, 2023
BACKGROUND: In proton therapy, it is disputed whether synthetic computed tomography (sCT), derived from magnetic resonance imaging (MRI), permits accurate dose calculations. On the one hand, an MRI-only workflow could eliminate errors caused by, e.g....
Pelvis Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Deep Learning Uncertainty Image Processing, Computer-Assisted Protons Humans Magnetic Resonance Imaging Tomography, X-Ray Computed
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Consistency in contouring of organs at risk by artificial intelligence vs oncologists in head and neck cancer patients.

Acta oncologica (Stockholm, Sweden) Sep 13, 2023
BACKGROUND: In the Danish Head and Neck Cancer Group (DAHANCA) 35 trial, patients are selected for proton treatment based on simulated reductions of Normal Tissue Complication Probability (NTCP) for proton compared to photon treatment at the referrin...
Organs at Risk Radiotherapy Planning, Computer-Assisted Protons Artificial Intelligence Head and Neck Neoplasms Humans
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A hybrid method of correcting CBCT for proton range estimation with deep learning and deformable image registration.

Physics in medicine and biology Jul 31, 2023
. This study aimed to develop a novel method for generating synthetic CT (sCT) from cone-beam CT (CBCT) of the abdomen/pelvis with bowel gas pockets to facilitate estimation of proton ranges.. CBCT, the same-day repeat CT, and the planning CT (pCT) o...
Deep Learning Child Cone-Beam Computed Tomography Protons Image Processing, Computer-Assisted Spiral Cone-Beam Computed Tomography Humans Radiotherapy Planning, Computer-Assisted Carmustine Radiotherapy Dosage
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Deep learning proton beam range estimation model for quality assurance based on two-dimensional scintillated light distributions in simulations.

Medical physics Jul 30, 2023
BACKGROUND: Many studies have utilized optical camera systems with volumetric scintillators for quality assurances (QA) to estimate the proton beam range. However, previous analytically driven range estimation methods have the difficulty to derive th...
Water Proton Therapy Radiotherapy Dosage Computer Simulation Monte Carlo Method Protons Deep Learning
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Editorial Comment: Implementing Deep Learning to Extrapolate Hepatic Proton Density Fat Fraction From T1-Weighted In-Phase and Opposed-Phase MRI.

AJR. American journal of roentgenology Jul 19, 2023
Protons Humans Retrospective Studies Deep Learning
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